海量无线网络信道负载均衡优化调度仿真

Huge Amounts of Wireless Channel Load Balancing Optimization Scheduling Simulation

对海量无线网络信道负载均衡进行合理调度,可改善海量无线网络拥塞现象。由于非结构化海量网络环境中数据流量较大,大量噪声和网络流量中存在过多的冗余特征属性,所以需要对其进行网络流量卸载,才能对网络信道负载均衡进行调度。采用传统的流量卸载方法进行网络流量卸载时,难以提取出非结构化海量网络流下的数据特征,流量卸载误差大,降低了网络信道负载均衡调度的效果。提出一种基于动态规划的非结构化海量网络流量卸载方法,对海量无线网络信道负载均衡进行优化调度。上述方法融合于动态规划理论将动态规划过程应用在动态流量卸载问题中,获取非结构化海量网络系统的初始能量效率模型,得到网络不同时段的能耗决策优化值,获取不同时段的网络流量样本,融合于决策树算法得到网络流量属性信息增益,并决策出需要卸载的网络流量。仿真结果表明,所提方法可以提高网络信道负载均衡调度的效果和效率。

In this paper, we proposed a method of unstructured massive network flow unloading based on dynamic planning to optimally schedule the channel load balance. In the method, dynamic programming theory was integrated to use the dynamic planning progress in flow unloading. The unstructured massive network system primary energy efficiency model was obtained and energy consumption decision optimization value and flow sample of different time frames in network were acquired. Decision tree algorithm was fused to get network flow attribute information gain and decide the unloading network flow. Simulation results show that above method can improve the effect and efficiency of network channel load balancing scheduling.